Bøger af Dipankar Dasgupta

This presentation of some recent advances in growth theory is motivated by two considerations. First, the works addressed by the book have not received uniform treatment in standard references. It presents a self-contained development of the subject matter including an exposition of the basic mathematics needed to study the subject. At the same time the different concepts are presented with reference to a common platform. Since economics students are exposed to the tools of supply and demand starting from the most elementary of courses, it is expected that they will readily grasp the message of modern growth theory when presented in this familiar language. A second consideration is the emphasis the book accords to the role played by externalities as in the case of most public goods where technological changes generate non-internalisable externalities which constitute one of the primary reasons for the failure of the competitive market system. The failures lead to a natural quest for policies to sustain efficient solutions with minimal interventions by the government.

This book introduces the student to traditional Keynesian macroeconomics and to recent advances in theoretical macroeconomics, examining a telling diversity of viewpoints on the macroeconomy. It looks specifically at some typical Indian problems in constructing an analytical framework for studying the short-run problems of a developing economy. Moreover, it offers a holistic approach to its topic by linking macroeconomics to economic theory as a whole.

This book is a collection of poems written over three years. They represent my thinking in the area of general emotions, children growing up, human psychology, nature & festivals. It also captures some of my personal experiences, and portrays a few people who are near and dear to me.

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004.The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

The book is divided into several parts that cover descriptions of several biometric and non-biometric authentication modalities, single factor and multi-factor authentication systems (mainly, adaptive), negative authentication system, etc.

Discusses different immunological mechanisms and their relation to information processing and problem solving. This work reviews standard procedures, representations and matching rules that are used in immunological computation models. It examines immune models, including those based on danger theory, cytokine network models and MHC-based models.